Decoding PRC2 stage-specific roles during germline-embryo-germline transition
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 62 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 62 samples: 31 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Decoding the cell intrinsic and extrinsic roles of PRC2 in early embryogenesisbioRxiv : the preprint server for biology · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE298615_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1270026 and SRA study SRP588896. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 62 samples.
How we read this: 31 replicated groups read from 62 sample titles; they account for 62 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9018403 RNA_E2C_EED_DMSO_1 RNA_E2C_EED_DMSO
- GSM9018404 RNA_E2C_EED_DMSO_2 RNA_E2C_EED_DMSO
- GSM9018405 RNA_E2C_EED_dTAG_1 RNA_E2C_EED_dTAG
- GSM9018406 RNA_E2C_EED_dTAG_2 RNA_E2C_EED_dTAG
- GSM9018407 RNA_L2C_EED_DMSO_1 RNA_L2C_EED_DMSO
- GSM9018408 RNA_L2C_EED_DMSO_2 RNA_L2C_EED_DMSO
- GSM9018409 RNA_L2C_EED_dTAG_1 RNA_L2C_EED_dTAG
- GSM9018410 RNA_L2C_EED_dTAG_2 RNA_L2C_EED_dTAG
- GSM9018411 RNA_Morula_EED_DMSO_1 RNA_Morula_EED_DMSO
- GSM9018412 RNA_Morula_EED_DMSO_2 RNA_Morula_EED_DMSO
- GSM9018413 RNA_Morula_EED_dTAG_1 RNA_Morula_EED_dTAG
- GSM9018414 RNA_Morula_EED_dTAG_2 RNA_Morula_EED_dTAG
- GSM9018415 RNA_E4.5_ICM_EED_DMSO_1 RNA_E4.5_ICM_EED_DMSO
- GSM9018416 RNA_E4.5_ICM_EED_DMSO_2 RNA_E4.5_ICM_EED_DMSO
- GSM9018417 RNA_E4.5_ICM_EED_dTAG_1 RNA_E4.5_ICM_EED_dTAG
- GSM9018418 RNA_E4.5_ICM_EED_dTAG_2 RNA_E4.5_ICM_EED_dTAG
- GSM9018419 E4.5_ICM_H3K27me3_1 E4.5_ICM_H3K27me3
- GSM9018420 E4.5_ICM_H3K27me3_2 E4.5_ICM_H3K27me3
- GSM9018421 EED_DMSO_E4.5_ICM_H2Aub_1 EED_DMSO_E4.5_ICM_H2Aub
- GSM9018422 EED_DMSO_E4.5_ICM_H2Aub_2 EED_DMSO_E4.5_ICM_H2Aub
- GSM9018423 EED_dTAG_E4.5_ICM_H2Aub_1 EED_dTAG_E4.5_ICM_H2Aub
- GSM9018424 EED_dTAG_E4.5_ICM_H2Aub_2 EED_dTAG_E4.5_ICM_H2Aub
- GSM9018425 EED_DMSO_E4.5_ICM_H3K4me3_1 EED_DMSO_E4.5_ICM_H3K4m…
- GSM9018426 EED_DMSO_E4.5_ICM_H3K4me3_2 EED_DMSO_E4.5_ICM_H3K4m…
- GSM9018427 EED_dTAG_E4.5_ICM_H3K4me3_1 EED_dTAG_E4.5_ICM_H3K4m…
- GSM9018428 EED_dTAG_E4.5_ICM_H3K4me3_2 EED_dTAG_E4.5_ICM_H3K4m…
- GSM9018429 ATAC_E4.5_ICM_EED_DMSO_1 ATAC_E4.5_ICM_EED_DMSO
- GSM9018430 ATAC_E4.5_ICM_EED_DMSO_2 ATAC_E4.5_ICM_EED_DMSO
- GSM9018431 ATAC_E4.5_ICM_EED_dTAG_1 ATAC_E4.5_ICM_EED_dTAG
- GSM9018432 ATAC_E4.5_ICM_EED_dTAG_2 ATAC_E4.5_ICM_EED_dTAG
- GSM9018433 RNA_E6.5_EPI_EED_DMSO_1 RNA_E6.5_EPI_EED_DMSO
- GSM9018434 RNA_E6.5_EPI_EED_DMSO_2 RNA_E6.5_EPI_EED_DMSO
- GSM9018435 RNA_E6.5_EXE_EED_DMSO_1 RNA_E6.5_EXE_EED_DMSO
- GSM9018436 RNA_E6.5_EXE_EED_DMSO_2 RNA_E6.5_EXE_EED_DMSO
- GSM9018437 RNA_E6.5_VE_EED_DMSO_1 RNA_E6.5_VE_EED_DMSO
- GSM9018438 RNA_E6.5_VE_EED_DMSO_2 RNA_E6.5_VE_EED_DMSO
- GSM9018439 RNA_E6.5_EPI_EED_dTAG_1 RNA_E6.5_EPI_EED_dTAG
- GSM9018440 RNA_E6.5_EPI_EED_dTAG_2 RNA_E6.5_EPI_EED_dTAG
- GSM9018441 RNA_E6.5_EXE_EED_dTAG_1 RNA_E6.5_EXE_EED_dTAG
- GSM9018442 RNA_E6.5_EXE_EED_dTAG_2 RNA_E6.5_EXE_EED_dTAG
+ 22 more — browse all 62 samples with per-sample file links →
- GSE289642 Noncanonical PRC2 chromatin association reveals a key role of EZHIP in intergenerational epigenetic memory transition [ChIP-Seq, Cut & Run] 107 samples shares prc2, transition
- GSE289641 Noncanonical PRC2 chromatin association reveals a key role of EZHIP in intergenerational epigenetic memory transition [RNA-Seq] 68 samples shares prc2, transition
- GSE223666 Alternative splicing decouples local from global PRC2 activity 87 samples shares prc2
- GSE263938 Chromatin repression by PRC2 results in reduced gene expression driving key features of CD8 T cell exhaustion 34 samples shares prc2
- GSE249591 Gene suppression by PRC2 enhances the gene inductions by Aire and the development of mimetic cell populations 572 samples shares prc2
- GSE286195 PRC2 Promotes Canalisation During Endodermal Differentiation 74 samples shares prc2
- GSE272603 DNA glycosylases Ogg1 and Mutyh mediate gene expression of PRC2 targets important for memory formation 128 samples shares prc2
- GSE297309 SKP1A-mediated degradation of PRC2 triggers activation of Polycomb-silenced gene [CUT&Tag] 108 samples shares prc2
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.